fabric-lakehouse-access-control

Diagnose Fabric Lakehouse access issues by auditing OneLake security definitions, SQL endpoint permissions, and Direct Lake model interactions to identify where 404s from shortcuts or missing data originate. The workflow reads cross-layer policies to pinpoint blocked access.

Row-level security may fail in Direct Lake models due to propagation delays or misconfigured OneLake security roles interacting with SQL endpoint permissions. Audit the RLS and OLS configurations across all security layers to identify conflicting policies.

The best way to remediate over-privileged access is running a comprehensive diagnostic workflow across OneLake security, workspace roles, and item permissions. This identifies excessive privileges and returns actionable remediation steps to tighten security.

Yes, you need the Az.Accounts module to authenticate and read OneLake security definitions and SQL endpoint permissions. The SqlServer module is also required to query SQL analytics endpoint protections during the access-control validation.

Yes, you can validate effective permissions for a specific user by running the lakehouse access-control validation against a target workspace and lakehouse. This confirms the user's actual access behavior across OneLake, SQL endpoint, and Direct Lake layers.

Avoid manual permission checks when diagnosing complex cross-layer Fabric Lakehouse access issues involving Direct Lake RLS or OLS interactions. Automated diagnostic workflows are necessary to trace propagation delays and policy conflicts across multiple security layers.